Unsloth AI

Open-source platform for fine-tuning and reinforcement learning of large language models (LLMs).

Open Source AI Models AI Voice Cloning AI Creative Writing AI Dialogue Generator Prompt Engineering AI Style Transfer Text to Image AI Describe Image AI Image Recognition AI Image Scanning AI Image Segmentation AI OCR AI Speech-to-Text AI Text-to-Speech AI Voice Changer + More

About Unsloth AI

Unsloth simplifies training text-to-speech (TTS), diffusion, multimodal, and language models like Llama 3, entirely locally or for free on platforms such as Google Colab and Kaggle. It handles the full training workflow—from model loading and quantization to evaluation, deployment, and integration with inference tools like Ollama, llama.cpp, and vLLM—making advanced AI development accessible and efficient.

How to Use

Unsloth can be installed on Linux, Windows, or via cloud services like Google Colab and Kaggle. Most users access it through Google Colab’s free GPU environment for seamless training and experimentation.

Features

Supports dynamic quantized models for efficient deployment

Includes bug fixes for open-source models

Advanced text-to-speech fine-tuning with voice cloning capabilities

Enables vision model fine-tuning for multimodal applications

Use Cases

Creating personalized chatbots and virtual characters

Implementing high-quality voice cloning in applications

Applying reinforcement learning for domain-specific tasks in law, medicine, and finance

Best For

Data scientistsAI research teamsEnterprise AI departmentsAcademic researchersMachine learning engineersAI developersStartups

Pros

Supports a variety of large language models and GPU hardware, including NVIDIA, AMD, and Intel

More energy-efficient, reducing environmental impact

Training speeds up to 30 times faster than FA2

Open-source and accessible for beginners

Enables rapid custom model development, reducing training time from 30 days to 24 hours

Uses up to 90% less memory compared to FA2

Provides faster inference for real-time applications

Cons

Pricing for Pro and Enterprise plans requires direct contact with the provider

Upcoming features like faster inference are still in development

Multi-GPU support for free users is not yet available

Frequently Asked Questions

Find answers to common questions about Unsloth AI

Is Unsloth free and open-source?

Yes, Unsloth is completely open-source and free to use locally without requiring internet access or APIs.

Does Unsloth have paid plans?

Currently, Unsloth offers only free access without any paid subscriptions.

Can I use Unsloth on Windows and Linux?

Yes, Unsloth is compatible with both Windows and Linux operating systems.

Is cloud training possible with Unsloth?

Absolutely. You can run Unsloth on cloud platforms like Google Colab and Kaggle for free GPU access.

What models can I fine-tune with Unsloth?

Unsloth supports fine-tuning a wide range of LLMs, diffusion models, and multimodal AI architectures.